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Sophie Greenwood

@sjgreenwood.bsky.social

PhD Student @ Cornell CIS Bluesky paper digest: https://bsky.app/profile/paper-feed.bsky.social/feed/preprintdigest

102 Posts688 Follower500 Folgt
Tony Zhou@tyzhou.bsky.social · last wk.

Bluesky gives users the power to choose their algorithms, but how does this actually work in practice? In our new preprint, we explore the ecosystem of Bluesky custom feeds and the feed creators behind them! 🧵 arxiv.org/abs/2609.12958

Middleware for Feed Recommendation in Practice: How Feed Creators Build, Maintain, and Sustain Custom Feeds on Bluesky

Scholars have long proposed third-party middleware as an alternative to centralized algorithmic feeds: feeds built and distributed by independent feed creators. This vision saw no large-scale instanti...

arxiv.org

Joshua Tucker@jatucker.bsky.social · 2mo ago

We have re-opened our search for a 3-year AI-research postdoc at NYU's Center for Social Media, AI, and Politics!! The position starts this **September 1st** (or as soon as possible thereafter) and is in person at NYU. If necessary, we will also consider a 1/1/27 start. 1/3

Mark Tomlinson@marktomlinson.dev · 2mo ago

People never learn. Unless they're on LinkedIn, then they learn all the time and the lessons are everywhere. People never change. Unless they're on LinkedIn, then everything does so "completely."

Diana Cai@dianarycai.bsky.social · 2mo ago

I’m joining Cornell as an Assistant Professor in Computer Science this fall! My group will work on probabilistic machine learning for scientific discovery. I’m recruiting PhD students to start in Fall 2027 -- and stay tuned for postdoc opportunities!

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sardean@sardean.bsky.social · 3mo ago

tomorrow (today over in Korea) Haruka will be presenting this paper in the ICML. working on this project with her (and folks at Meta) is part of what convinced me to revamp my undergraduate RL course (more on that later). check out the poster at the Wednesday poster session! arxiv.org/abs/2605.26385

Credit-assigned Policy Gradient for Early Stage Retrieval in Two-stage Ranking

Large-scale search, recommendation, and retrieval-augmented generation (RAG) systems typically employ a two-stage architecture: an early-stage ranker (ESR) generates a candidate set, which is subseque...

arxiv.org

Kenny Peng@kennypeng.bsky.social · 3mo ago

Presenting this at #COLT2026! Let me know if you want to chat about (1) the linear representation hypothesis, (2) theoretical foundations for interpretability / science of AI. - Talk: Thursday 2:33 pm - Deep Learning Theory / Optimization - Poster: Thursday Lunch)

Kenny Peng@kennypeng.bsky.social · 7mo ago

New paper! The Linear Representation Hypothesis is a powerful intuition for how language models work, but lacks formalization. We give a mathematical framework in which we can ask and answer a basic question: how many features can be stored under the hypothesis? 🧵 arxiv.org/abs/2602.11246